import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("exploer/person01")
prompt = "tomasbily a man with a beard wearing a grey jacket standing in front of a backdrop of trees."
image = pipe(prompt).images[0]person
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- tomasbily a man with a beard wearing a grey jacket standing in front of a backdrop of trees.
- Prompt
- tomasbily a man standing in the grass wearing a white and grey t-shirt. The background is slightly blurred, with trees visible in the distance.
- Prompt
- tomasbily a man with a beard wearing a grey and white t-shirt standing in front of a backdrop of trees.
Trigger words
You should use tomasbily to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for exploer/person01
Base model
black-forest-labs/FLUX.1-dev